Fuzzy Rules Extraction Based on Deterministic Data (Case Study: Bank's Customers Rating)

摘要

Financial institutions and banks are the type of organizations whose customer rating is very valuable. In the present paper, two algorithms are proposed and compared that can extract some fuzzy rules from deterministic data. Each fuzzy rule may be used as a class of customers. In the first algorithm, a method is proposed based on both experiment and fuzzy theory. In the second algorithm a heuristic approach is proposed. Additionally, for more explanations a case study in a real bank is presented.